Day-Ahead market model based coordinated multiple energy management in energy hubs

•Integrate sources, storages, loads to be hub for reliable, secure, flexible EM in various systems.•Examine the coordinated power management method in various energy systems.•Provides a linear scheme to achieve optimum profits by collaborating hubs in various DAMs.•Examine how hubs can be integrated into various systems in order to enhance their indices. This paper presents a case-driven stochastic scheme for coordinated hubs energy management (EM) in a day-ahead market (DAM). In this scheme, electric, gas, and heat systems are connected through the consideration of gas and electricity for hub inputs, and electricity and heat for hub outputs. The paper considers combined heat and power (CHP) and energy storage systems, boilers, parking lots for renewable energy resources (RERs), and electric vehicles (EVs). In order to maximize the profit of hub in the DAM with consideration of linear systems and hub restrictions, a linear objective function has been included in the linear coordinated EM (CEM) problem. The scheme also considers the uncertainties in loads, DAM power prices, and RER output power. The grey wolf optimization algorithm is used to solve the proposed optimization problem. The efficacy and reliability of the proposed hubs' EM is examined in a simulation system based on the scheme. Lastly, outcomes indicate that the hub CEM is efficient across DAMs.